Evidence map›Paper›PMID 42582222›Full record

ArticleInnovation (Cambridge (Mass.))2026

Potential plastic biodegradation in lakes worldwide.

Qi Zhang, Zhenyan Zhang, Ziyao Zhang, Guoyan Qin, Mingkang Jin, Bingfeng Chen, Yitian Yu, Tingzhang Wang, Meixia Wang, Tao Lu and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Innovation (Cambridge (Mass.)), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Qi ZhangInstitute for Advanced Study, Shaoxing University, Shaoxing 312000, China.
Zhenyan ZhangInstitute for Advanced Study, Shaoxing University, Shaoxing 312000, China.
Ziyao ZhangCollege of Environment, Zhejiang University of Technology, Hangzhou 310032, China.
Guoyan QinCollege of Environment, Zhejiang University of Technology, Hangzhou 310032, China.
Mingkang JinState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Bingfeng ChenCollege of Environment, Zhejiang University of Technology, Hangzhou 310032, China.
Yitian YuKey Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.
Tingzhang WangKey Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou 310012, China.
Meixia WangKey Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou 310012, China.
Tao LuCollege of Environment, Zhejiang University of Technology, Hangzhou 310032, China.
Dong ZhuKey Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.
Li CuiKey Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.
Haifeng QianInstitute for Advanced Study, Shaoxing University, Shaoxing 312000, China.
Matthias C RilligInstitute of Biology, Freie Universität Berlin, Berlin, Germany.
Yong-Guan ZhuKey Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plastic pollution is ubiquitous, yet the biodegradation of plastic waste remains poorly understood due to limited knowledge of microbial plastic degradation potential. Here, we demonstrate that plastic waste shapes the global distribution of plastic-degrading potential across 182,661 lakes worldwide using integrated metagenomic and machine learning analyses and identify a tipping point (≥7.44 particles/m

Indexed as

lake microbiomemachine learningplastic-degrading bacteriaplastic pollutionplastisphere

Identifiers

PMID42582222
PMCPMC13457188

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.